Du är här

ECG-based waveform characterization of atrial fibrillation

Författare:
Publiceringsår: 2007
Språk: Engelska
Sidor: 269-272
Volym: 34
Dokumenttyp: Konferensbidrag

Sammanfattning

In atrial fibrillation (AF), the body surface signal pattern varies considerably from one patient to another as well as over time. We have developed a new method for ECG-based characterization of AF which explores the morphology of the f-waves. Following QRST cancellation, the method divides the atrial signal into short blocks and performs a model-based analysis of each block. The blocks are then clustered into different waveform patterns. The method was applied to a database of 36 patients (10-s recordings) with organized AF. The results show that the different waveforms in AF are well represented by the proposed model. Each recording was, in average, represented by 3 clusters of which the main cluster covered 31% of the blocks. In lead V1, the typical phase relationship between the fundamental and first harmonic was -82 degrees, indicating sawtooth-like waves with a steeper downslope than upslope.

Disputation

Nyckelord

  • Technology and Engineering

Övrigt

Computers in Cardiology
2007-09-30/2007-10-03
Durham, NC, USA
Published
Yes
  • Signal Processing Group
  • ISSN: 0276-6547
  • ISBN: 978-1-4244-2533-4

Box 117, 221 00 LUND
Telefon 046-222 00 00 (växel)
Telefax 046-222 47 20
lu [at] lu [dot] se

Fakturaadress: Box 188, 221 00 LUND
Organisationsnummer: 202100-3211
Om webbplatsen

LERU logo U21 logo